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When the Jobs Market Blinks, Your Lending Strategy Can't

13 August 2025

By

Pankaj Kulshreshtha

5

min read

July's jobs report delivered exactly 73,000 new positions with a stunning twist: revisions to May and June wiped out 258,000 jobs that economists thought existed. The reaction was swift and divided. Wells Fargo's Sarah House called it "a dud" in a note titled "July and the No Good, Very Bad Jobs Report." Navy Federal's Heather Long declared it "a game-changer." Moody's Mark Zandi warned, "The economy is on the precipice of recession."



Now it gets interesting. PNC's Gus Faucher countered that "the most likely outcome is still weaker economic growth... but no recession." Meanwhile, statisticians pointed out that while the 258,000 revision was significant, "it is not an aberration in the true statistical sense," but rather "an emphatic example of a structural feature of the data." Even the White House's Kevin Hassett admitted the revisions were "concerning" while still touting "broader economic strength."


Without quibbling with economists, it would be fair to conclude: no one knows exactly how bad this is, but everyone agrees it's not good.



What Just Happened?

Job growth has averaged just 35,000 in the past three months, compared to 111,000 per month in the first quarter. Without healthcare adding 55,000 jobs, the economy would have lost jobs in recent months. More telling than the headline number is what's happening beneath it. The labor force participation rate fell to its lowest level since 2022, and the share of long-term unemployed has jumped to nearly 25% from 21.6% a year ago. This surge in long-term unemployment is concerning1.


For lenders, this creates a new reality. Being "employed" no longer means what it used to. Workers are getting fewer hours without technically losing their jobs. The gig economy now represents 36% of the U.S. workforce, with 57.3 million Americans engaged in freelance work as of 20232, cycling through multiple income sources just to maintain cash flow.



Implications for Lending

Your credit models were built assuming employment was mostly binary. You had a job or you didn't, and the job entailed a relatively stable income stream. Now borrowers can be employed but still be financially stressed.


Consider the construction worker in Florida whose hours dropped 30% due to project delays. Or the retail manager in Ohio whose store reduced staffing but kept her on at fewer hours. Traditional underwriting would classify both as "stably employed", reality is a different story.


Income volatility is the new normal. Point-in-time employment verification misses the growing number of borrowers experiencing reduced hours, delayed projects, or unstable gig work. Cash flow patterns, industry health metrics, and employment tenure are now more important than a single pay stub.


In addition, geographic concentration creates hidden risks. Regions dependent on a few large employers see sharper declines than national averages suggest³. A seemingly diversified portfolio may have risk concentrations in vulnerable zip codes or industry sectors.


Traditional leading indicators are failing. The usual early warning signs of initial unemployment claims, and layoff announcements aren't capturing reality. Layoffs remain at longtime lows even as the labor market weakens⁴. Companies are managing costs by reducing hours rather than cutting heads, creating a new form of employment stress that traditional metrics miss entirely.



Five Strategic Adjustments

  1. Look beyond employment status. Supplement income verification with real-time cash flow analysis, spending pattern changes, and industry-specific risk indicators. A nurse with a thin credit history presents a different risk than a manufacturing worker with good scores.

  2. Segment by vulnerability, not just past credit history. Manufacturing lost 11,000 jobs in the latest report5, while healthcare continues adding 55,000 positions above its historical average. Your pricing and risk models should reflect these diverging realities.

  3. Strengthen lifecycle monitoring. Early warning systems need to detect stress before traditional delinquency measures. Rising credit utilization, changes in deposit timing, or spending shifts in essential categories can signal problems weeks before missed payments.

  4. Recalibrate pricing for the new normal. The same loan terms may no longer reflect actual risk. Some segments require higher rates or different structures. Others represent better opportunities than traditional models suggest.

  5. Make models more agile. Economic conditions are changing too quickly, your underwriting models need to be refreshed more frequently. Half-yearly updates will be ideal to capture the rapid shifts in employment patterns and income stability.



The Opportunity

While economists debate recession probabilities, smart lenders are adapting to serve borrowers more effectively. By recognizing that traditional employment categories no longer capture risk adequately, you can both protect your portfolio and identify underserved segments.


Markets are pricing in an 80% chance of Fed rate cuts by September, which will eventually help borrowers. But rate relief won't fix the underlying income volatility that's reshaping credit risk. While we can have much debate about macroeconomic trends, there is little doubt that lenders who adapt their strategies now will do better than their competitors.



References

  1. Long-term unemployment as a leading indicator: Bureau of Labor Statistics data shows that the share of long-term unemployed (27+ weeks) rose to 25% in July 2025 from 21.6% a year ago. Research from the Federal Reserve Bank of Cleveland demonstrates that rising long-term unemployment typically precedes broader labor market deterioration by 3-6 months.

  2. Gig economy workforce statistics: According to Upwork's "Freelance Forward 2023" report, freelance workers now represent 36% of the U.S. workforce, contributing $1.27 trillion to the economy. This represents a 78% increase since 2014, fundamentally altering traditional employment verification methods.

  3. Geographic employment concentration risks: Federal Reserve Bank of St. Louis research shows that metropolitan areas with employment concentrated in fewer than five major employers experience 40% larger employment swings during economic transitions compared to more diversified regions.

  4. Layoff trends vs. labor market weakness: Department of Labor data shows initial unemployment claims remain near 50-year lows at approximately 230,000 weekly, yet total employment growth has decelerated by 68% from Q1 to Q3 2025, indicating companies are managing workforce costs through hour reduction rather than termination.

  5. Manufacturing employment decline: The Bureau of Labor Statistics July 2025 report shows the manufacturing sector lost 11,000 positions, marking the third consecutive month of decline and representing the steepest quarterly drop since early 2023, while healthcare added 55,000 jobs, maintaining its 18-month streak of above-average growth.

  6. Labor force participation rate decline: Federal Reserve Bank of St. Louis data shows the labor force participation rate fell to 62.2% in July 2025, its lowest level since 2022. CNBC analysis notes this decline may reflect economic uncertainty and workforce disengagement.

  7. Long-term unemployment surge: Bureau of Labor Statistics July 2025 employment report shows the share of long-term unemployed (27+ weeks) increased to nearly 25% from 21.6% in July 2024, indicating growing difficulty for job seekers to find employment.

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